Data Science Manager

Opportunity Overview:

We are seeking a highly skilled and technically sound Data Science Team Manager to lead and drive our data science initiatives. This is a hands-on leadership role, ideal for someone with strong experience in designing and architecting data solutions, streamlining workflows, and directly contributing to team deliverables. This is not a traditional people management role; instead, we're looking for a technologically proficient leader who thrives on building solutions, mentoring others, and aligning data strategies with business goals.

This role requires hands-on experience building and architecting end-to-end NLP, data science, and machine learning solutions using tools such as Python, SQL, and AWS services, including EC2, Lambda, Glue, SNS, SQS, Sagemaker, EMR, and Athena. Adapt leveraging these technologies to design scalable, production-ready pipelines and intelligent systems. Ability to architect the design and deployment of scalable, production-ready machine learning pipelines and intelligent systems.

Required Qualifications:

• 7+ years of professional experience in data science, machine learning, data engineering, or related technical discipline.
• Proven experience in managing or leading technical teams, with a strong emphasis on mentoring and delivery.
• Lead by example as a hands-on manager, actively engaging in coding, solution design, and problem-solving alongside the team.
• Demonstrated experience in designing and implementing complex data architectures and pipelines.
• Partner with senior leadership to define the organization's data strategy and ensure alignment with business objectives.
• Develop and enforce data governance frameworks, policies, and procedures to ensure data quality, compliance, and risk mitigation.
• Streamline workflows and optimize processes to improve the efficiency, quality, and output of the data science team.
• Actively mentor and upskill team members, providing knowledge transfer and support for continuous learning and development.
• Foster cross-functional collaboration by working closely with engineering, product, analytics, and business teams to ensure data solutions are aligned with organizational goals and integrated seamlessly across platforms.
• Drive a culture of responsibility, ownership, and accountability within the team.
• Balance multiple concurrent projects while ensuring high-quality outcomes and timely delivery.
• Maintain a deep understanding of current technologies and industry best practices to ensure the team remains innovative and competitive.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Solid understanding of Object-Oriented Programming (OOP) principles with experience in writing clean, modular, and reusable code for scalable data science applications.
• Proficient in Git for version control, including branching strategies, pull requests, and collaborative code reviews.
• Hands-on experience using JIRA (or similar tools) for sprint planning, task tracking, and agile workflow management.
• Strong verbal and written communication skills; capable of interacting effectively with both technical and non-technical stakeholders.
• Self-motivated, proactive, and driven, with a strong sense of ownership and accountability.

Good to Have

• Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical Comprehend for Clinical Named Entity Recognition
  (NER).
• Strong Leadership Skills.
• Deployment of custom-trained and prebuilt NER models using AWS Sagemaker.
• Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2.
• Should have Intellectual curiosity to learn new things.
• ISMS responsibilities should be followed as per company policy.

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

• Subject to change

About ZignaAI, a Cohere Health Company:

ZignaAI, a Cohere Health company, is focused on delivering innovative solutions that transform healthcare payment operational processes. We empower payers, providers, and patients with AI powered software solutions that drive transparency in healthcare payment services. Built-in intelligence-enabled machine learning algorithms deliver pre-billing payment accuracy solutions and avoid provider abrasion. We differ from traditional payment services solutions by resolving issues at the root by ensuring accurate payments and automating processes with nudges delivered to billing coders. Our innovative and scalable solutions cover Medicaid, Medicare, and Commercial policies, and deliver results in weeks.

Cohere Health is a fast-growing clinical intelligence company that's improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can't wait to learn more about you and meet you at ZignaAI, a Cohere Health company!

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal.